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Common Errors in Statistics and How to Avoid Them - Good P.I

Good P.I Common Errors in Statistics and How to Avoid Them - Wiley publishing , 2003. - 235 p.
Download (direct link): сommonerrorsinstatistics2003.pdf
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Hagood MJ, 12
Haines A, 90
Hall P, 47, 56, 57
Hardin J, 125, 142, 149, 153
Harley SJ, 90
Harrell FE, 153
Hartel G, 66
Hauck WW, 54, 106
Hedges LV, 90
Hertwig R, 14
Heywood J, 152
Hilbe JM, 125, 142, 149, 153
Hilton J, 55
212 AUTHOR INDEX
Hinkley DV, 79
Hodges JS, 86
Horwitz RI, 13, 88, 90, 105
Hosmer DW, 153
Huber PJ, 50
Hubley AM, 104
Hume D, 75
Hungerford TW, 68
Hunt MR, 74
Hunter JE, 106
Hutchon DJR, 90
International Committee of Medical Journal Editors, 75, 105 International Study of Infarct Survival Collaborative Group, 8 Ivanova A, 19
Jackson GG, 74 Jennison C, 38 Johnson MG, 60 Johnson MM, 60 Jones CP, 104 Jones IG, 74 Jones LV, 101, 105 Judge G, 164
Kadane IB, 85 Kanarek MS, 135, 140 Kaplan J, 23 Karten I, 75 Kass R, 90 Kaye DH, 83 Kendall M, 169 Keynes JM, 79 Killeen TJ, 61 Knight K, 90 Koepsell TD, 6 Kosecoff JB, 38
Lambert D, 54, 90 Lang TA, 94, 96, 105 Lee KL, 153
Lehmann EL, 20, 23, 37, 41, 44, 50, 53, 54, 57, 60, 64, 67 Leizorovicz A, 88 Lemeshow SL, 153 Lieberson S, 74, 136, 143 Light RJ, 75 Loader C, 141
Locke J, 7S Loftis JC, 10S Lonergan JF, 74, 7S Louis TA, 90 Lovell DJ, 7 Lundstrum LL, 104
Ma CW, 60 MacArthur RD, 74 Machin D, 7S Mangel M, 31, 73 Manly BFJ, SS, 90 Maritz JS, SO, S4, 90 Mark SD, 1S3 Mayo DG, 2 McBride GB, l0S McGill ME, 123 McGuigan SM, 74 McKinney PW, 1S, 74 McLaughlin DH, 7l Meenan RF, 74 Meko DM, 1S6 Mena EA, 133 Michaelsen J, 162
Mielke PW, 90, 13S, 143, 160, 162
Miller RG, 60, 61, 74
Moher D, 90
Moiser CI, 1SS
Morris RW, 49
Mosteller F, S6, SS, 90, 10S, 106, 139, 143, 1S3 Mulrow CD, 7S Murray GD, 7S Myers RA, 90
Nelder JA, 147 Nester M, 10S Neyman J, 23, 3S, 73, 106 Nurmohamed MT, SS
OBrien PC, SS Olkin I, 90 Olshen RA, 164 Omer H, 74 Osborne J, 1S3
Padaki PM, 74 Pankratz A, 13S Parker RA, 3S Parkhurst DF, 10S
AUTHOR INDEX 213
Parzen E, 107 Patterson GR, 93 Permutt T, 19
Pesarin F, 55, 56, 68, 70, 75, 90
Peterson A, 58, 59
Phillips AN, 90
Phipps MC, 79, 87
Picard RR, 158
Pillemer DB, 75
Pilz J, 44
Pinelis IF, 44
Pitman EJG, 138
Poole C, 101
Presser S, 28
Pun F-C, 160, 164
Raftery A, 90 Rao CR, 177 Rea LM, 38 Redmayne M, 79 Reichenbach H, 75 Rencher AC, 153, 160, 164 Richards L, 138 Roberts FDK, 137 Romano JP, 90 Rosenbaum PR, 38 Rosenberg MS, 90 Rothenberg T, 163 Rothman KJ, 75, 104 Roy J, 145 Rubin H, 75 Ruppert D, 50 Rytter EC, 74
Sa ER, 90 Salmaso L, 68 Salsburg D, 55, 56 Samaniego FJ, 31, 73 Sanders JR, 75 Schenker N, 90 Schmidt FL, 106 Schor S, 75 Schroeder YC, 28, 38 Schulz KF, 36, 37 Seber GAF, 38 Secic M, 94, 96, 105 Selike T, 23, 86 Selvin H, 104 Senn S, 92 Serlin OH, 74
Shao J, 50, 159, 162
Shi S, 74
Shuster JJ, 37
Silverman BW, 141
Siskind V, 75
Smeeth L, 90
Smith GD, 13, 75, 87, 90
Snell EJ, 142
Sox HC, 23
Stangl DK, 90
Sterne JAC, 75
Still AW, 67
Stockton CW, 156
Stone M, 176
Stuart A, 169
Su Z, 90
Subrahmanyam M, 158 Sukhatme BV, 60 Sutch R, 163 Suter GWI, 105
Tarone RE, 21 Therneau TM, 153 Thompson SG, 14, 84 Thompson SK, 38 Tiao GC, 71 Tibshirani R, 47, 50 Todd PM, 14 Toutenburg H, 38 Tribe L, 80 Trzos R, 19 Tsai C-C, 156 Tu D, 48, 50, 159, 162 Tufte ER, 105, 122, 125 Tukey JW, 56, 60, 65, 71, 105, 125, 139, 143 Turnbull BW, 38
Vaisrub N, 75 van Alen BW, 90 van Belle G, 94, 96 van den Dool HM, 162 van Zwet WR, 54 Venn J, 75 Vickers A, 36 Victor N, 88
Wald A, 73 Waters E, 153 Watterson IG, 162
214 AUTHOR INDEX
Wedderburn RWM, 147 Weerahandi S, 55 Weisberg S, 162 Welch GE, 74 Westgard JO, 71, 74 White SJ, 67, 74 Wilkinson L, 117, 125 Wilks DS, 160 Willick JA, 103 Wilson JW, 104
Wilson SR, 47, 56, 57 Wu CFJ, 90, 159
Yoccuz NG, 74, 104 Young A, 56, 72
Zhang Z, 48 Zhou X-H, 141 Zinn J, 90 Zumbo BD, 104
AUTHOR INDEX 215
Subject Index
a prior distribution, 81-83 a prior probability, 86 Acceptance region, 101-102 Accuracy vs. precision, 187 Agronomy, 33, 66 Algorithms, 137, 160, 161 Allocation sequence, 36 Alys statistic, 62-63 Analysis of variance, 62, 65 Angiograms, 93 Animals, 7 Antibodies, 26 ARIMA, 157
Arithmetic average, see mean Aspirin, 35, 66 Association, 136 spurious, 143 versus causation, 136, 141 Assumptions, 4, 32, 51, 61, 63, 71-78, 89, 101, 129, 148 Astronomy, 8, 74, 103 Asymptotic, 51, 165 approximation, 60 relative efficiency, 43-44 Audit, 139 Autocorrelation, 104 Autoregressive process, see time series Axis label, 111, 122 Axis limit, 10 Axis range, 110
Bacteria, 96 Balanced design, 65 Bar chart, 108, 117
Baseline, 58, 110 Bayes
analysis, 89 factor, 85 Theorem, 80-84 Behrens-Fisher problem, 54 Bias
estimation, 103, 174 sample, 7, 35-36, 47, 87, 102-104, 140,150+B397 Bias-corrected and accelerated, 47,
61
Blinding, 36, 92 Blocks, 33, 59, 71 Blood, 9, 27, 74 Blood pressure, 26 Bonferroni correction, 72 Bootstrap, 49, 70, 90, 152, 173 limitations, 78 nonparametric, 45 parametric, 48, 99 percentile, primative, 48, 61 sample, 29-30, 46, 57, 147+B221 test, 51-56 tilted, 79 Box and whiskers plot, 96-99 Boyles Law, 5, 130
Cancer, 17, 21, 84, 87, 135, 140 Caption, 122 CART, 152, 155 Categories, 26, 71
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